PM10.poly: European countries used in PM10.dat

PM10.polyR Documentation

European countries used in PM10.dat

Description

European countries corresponding to PM10.dat locations and used in Hamm et al. (2015) and Datta et al. (2016). Polygon projection is "+proj=laea +lat_0=52 +lon_0=10 +x_0=4321000 +y_0=3210000 +ellps=GRS80 +units=km +no_defs".

Usage

data(PM10.poly)

Format

List of polygons. See example below to convert to a SpatialPolygons object.

References

Datta A., S. Banerjee, A.O. Finley, N. Hamm, and M. Schaap (2016). Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis. Annals of Applied Statistics, 10(3), 1286–1316. ISSN 1932-6157. doi:10.1214/16-AOAS931.

Hamm N. A.O. Finley, M. Schaap, A. Stein (2015). A Spatially Varying Coefficient Model for Mapping PM10 Air Quality at the European scale. Atmospheric Environment, 102, 393–405.

Examples


## Not run: 

library(sp)

prj <- "+proj=laea +lat_0=52 +lon_0=10 +x_0=4321000 +y_0=3210000 +ellps=GRS80 +units=km +no_defs"

pm10.poly <- SpatialPolygons(PM10.poly, pO = 1:length(PM10.poly), proj4string=CRS(prj))

## End(Not run)


spBayes documentation built on May 29, 2024, 9:09 a.m.

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